Go deep into "sense-making"

- As you've seen, it's very important for the team…to have the right mindset.…Your team should think conceptually about the data.…That's part of applying the scientific method.…That's not an easy task.…Remember that most data analysts come…from math or statistics.…These fields tend to rely on structured metrics.…Conceptual thinking often requires…a storytelling style that's more artistic.…A lot of data analysts need to lean…on their abilities and not their training.…Once everyone has the right mindset,…they can start to focus on sensemaking.…

sensemaking is a key part of data science.…We all do sensemaking in one way or another.…When you come back from a vacation,…you might be overwhelmed by the e-mail in your inbox.…You might decide to create sub-folders.…Each one labeled Important, Old, or Announcements.…You might decide to sort all of your e-mail by people.…Each person may approach the data differently.…As a team, it's even more difficult…to have a shared sense of the data.…Each person has their own technique for sensemaking.…

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Author

Released

11/15/2016

More companies are adding data science teams to their organization. To be effective, it's crucial to understand how to build and manage these teams. Business coach and author Doug Rose lays out the secrets of building effective data science teams. You'll see how to take advantage of existing talent or how you might hire new team members. You'll also see how to train these teams to create the unique chemistry that fosters better collaboration and keener discussions.

Learn the holistic approach to building teams and deploying data science across disciplines. Identify the key roles and responsibilities, including research lead, data analyst, and project manager. Find out how to define areas of responsibility, foster effective communication, and build compelling reports and visualizations. Then see how to avoid the pitfalls of losing focus and arriving at false consensus. These techniques help you build highly skilled teams that produce deeper insights than you'll find from relying on data scientists alone.